Cloud resource monitoring system and cloud resource monitoring method based on openstack

Abstract

The invention discloses a cloud resource monitoring system and a cloud resource monitoring method based on openstack, wherein the system and the method relate to the field of cloud resource monitoring. A Ceilometer system is disposed through building an openstack cloud platform. The system architecture of the cloud resource monitoring system mainly comprises a Ceilometer Agent, an API Server, a monitoring data storage module, a cloud resource virtual machine and a user. The Ceilometer Agent regularly acquires monitoring data of the cloud resource virtual machine and transmits a request to the API Server. The API Server writes the monitoring data into the monitoring data storage module. The user can transmit a monitoring data acquiring request to the API Server. The API Server extracts the monitoring data of the monitoring data storage module and furthermore returns the monitoring data to the user. The cloud resource monitoring system and the cloud resource monitoring method have advantages of settling a problem of insufficient existing cloud resource monitoring, facilitating in-time mastering of a problem in cloud resource operation by monitoring personnel, improving real-time system performance and ensuring continuous stable operation of a cloud platform.

Description

technical field [0001] The invention relates to the field of cloud resource monitoring, in particular to an openstack-based cloud resource monitoring system and method. Background technique [0002] The centralized monitoring structure is mainly that the monitoring server directly monitors the monitored objects. In the centralized monitoring structure, the monitoring server is responsible for obtaining monitoring information from monitoring nodes. Monitoring nodes need to deploy monitoring agents to interact with the server. The monitoring server is generally deployed on a machine, collects the data sent by the monitoring agent, then analyzes the data, and directly displays it on the monitoring interface or saves it in the database. The monitoring server can also send commands to the monitored object so that it can dynamically configure some information, or obtain some information in time. The main disadvantage of this monitoring structure is that since it is necessary no...

AI Technical Summary

Problems solved by technology

At present, each of the major cloud platforms develops cloud resource monitoring for their own platforms, and has rich functions for monitoring a specific state of their own, but the resource monitoring of their respective cloud platforms is not very versatile.

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